SNUFA 2026
Brief summary. This online workshop brings together researchers in the fields of computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions.
Program committee. Sacha van Albada, Jason Eshraghian, Dan Goodman, and Friedemann Zenke.
Quick links.
Key information
Workshop. 4-5 November 2026, European afternoons (online).
Invited speakers. Giulia D’Angelo (Czech Technical University in Prague), Eugene Izhikevich (Brain Corp and DeepSpike), Mihai Petrovici (University of Bern), Susanne Schreiber (Humboldt University)
Format
- Two half days
- 4 invited talks
- 7 contributed talks
- Flash talks by selected poster presenters
- Virtual poster session
Registration
Attendance is free, but registration is required (to receive the streaming links).
Abstract submission
Deadline: Sept 25, 2026 (anywhere on earth)
Abstracts will be made publicly available at the end of the abstract submissions deadline for blinded public comments and ratings. We will select the most highly rated abstracts for contributed talks and flash talks, subject to maintaining a balance between the different fields of, broadly speaking, neuroscience, computer science and neuromorphic engineering. Abstracts not selected for a talk, and abstracts selected for a flash talk, will be presented as posters.
Agenda
| Time (CET) | Session | Local date/time |
|---|---|---|
| November 4th | ||
| 14:00 | Welcome by the organizers | |
| Session 1 | Chaired by Sacha van Albada | |
| 14:10 | Susanne Schreiber (Humboldt University) |
|
| 14:55 | Huihong Li Firing Rate Homeostasis Improves Learning Through Irregular Spiking |
|
| 15:15 | Lennart P. L. Landsmeer A General Theory of Exact Gradients in Spiking Neural Networks & The Potential of Biorealistic Neuron Models |
|
| 15:35 | Break | |
| Session 2 | Chaired by Dan Goodman | |
| 16:05 | Mihai Petrovici (University of Bern) Thinking at the speed of light |
|
| 16:50 | Christian Klos Time-reversed event-based simulations enable memory-efficient exact gradient descent in spiking neural networks |
|
| 17:10 | Flash talks by selected poster presenters | |
| 17:30 | Poster session | |
| November 5th | ||
| 14:00 | Welcome to day 2 | |
| Session 3 | Chaired by Friedemann Zenke | |
| 14:05 | Eugene Izhikevich (Brain Corp and DeepSpike) Spiking Manifesto |
|
| 14:50 | Alireza Valizadeh Synaptic plasticity selects transmission delays for resonant communication in spiking networks |
|
| 15:10 | Simon Schultz Spike timing neural manifolds for learning, memory and computation in the brain |
|
| 15:30 | Break | |
| Session 4 | Chaired by Jason Eshraghian | |
| 16:00 | Giulia D’Angelo (Czech Technical University) What’s catching your eye? — Event-driven sensing and neuromorphic computing for active vision |
|
| 16:45 | Anindya Ghosh Where forgetting lives in a spiking continual-learning memory |
|
| 17:05 | Robin Duvoisin Energy-Efficient Neural Coding under Uniform and Heavy-Tailed Input Distributions |
|
| 17:25 | Closing remarks |